[GitHub] [spark] AmplabJenkins commented on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument Python UDF execution time and throughput metrics using Spark Metrics system

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[GitHub] [spark] AmplabJenkins commented on issue #27643: [SPARK-30886][SQL] Deprecate LTRIM, RTRIM, and two-parameter TRIM functions

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27643: [SPARK-30886][SQL] Deprecate LTRIM, RTRIM, and two-parameter TRIM functions

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[GitHub] [spark] AmplabJenkins commented on issue #27643: [SPARK-30886][SQL] Deprecate LTRIM, RTRIM, and two-parameter TRIM functions

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument Python UDF execution time and throughput metrics using Spark Metrics system

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[GitHub] [spark] SparkQA commented on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument Python UDF execution time and throughput metrics using Spark Metrics system

2020-03-04 Thread GitBox
SparkQA commented on issue #26953: [SPARK-30306][CORE][PYTHON] Instrument 
Python UDF execution time and throughput metrics using Spark Metrics system
URL: https://github.com/apache/spark/pull/26953#issuecomment-595079598
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide and ml-migration-guide for 3.0 release

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide and ml-migration-guide for 3.0 release

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[GitHub] [spark] HyukjinKwon edited a comment on issue #27789: [SPARK-30541][TEST] testRetry flaky KafkaDelegationTokenSuite

2020-03-04 Thread GitBox
HyukjinKwon edited a comment on issue #27789: [SPARK-30541][TEST] testRetry 
flaky KafkaDelegationTokenSuite
URL: https://github.com/apache/spark/pull/27789#issuecomment-595070637
 
 
   Reading the error messages, yea, seems it's failed during `setup`. Let's 
disable this test case and enable it back in a separate PR.
   
   Conditional test can be an option if we know this `setup` being failed isn't 
an issue but just being flaky for other external reasons, and it's difficult to 
fix.


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[GitHub] [spark] SparkQA commented on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide and ml-migration-guide for 3.0 release

2020-03-04 Thread GitBox
SparkQA commented on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide and 
ml-migration-guide for 3.0 release
URL: https://github.com/apache/spark/pull/27785#issuecomment-595077827
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] SparkQA removed a comment on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide and ml-migration-guide for 3.0 release

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[GitHub] [spark] MaxGekk commented on a change in pull request #27759: [SPARK-31008][SQL]Support json_array_length function

2020-03-04 Thread GitBox
MaxGekk commented on a change in pull request #27759: [SPARK-31008][SQL]Support 
json_array_length function
URL: https://github.com/apache/spark/pull/27759#discussion_r388124829
 
 

 ##
 File path: sql/core/src/test/resources/sql-tests/inputs/json-functions.sql
 ##
 @@ -58,5 +58,16 @@ select schema_of_json('{"c1":01, "c2":0.1}', 
map('allowNumericLeadingZeros', 'tr
 select schema_of_json(null);
 CREATE TEMPORARY VIEW jsonTable(jsonField, a) AS SELECT * FROM VALUES ('{"a": 
1, "b": 2}', 'a');
 SELECT schema_of_json(jsonField) FROM jsonTable;
+
+-- json_array_length
+select json_array_length('');
+select json_array_length('[]');
+select json_array_length('[1,2,3]');
+select json_array_length('[[1,2],[5,6,7]]');
+select json_array_length('[{"a":123},{"b":"hello"}]');
+select json_array_length('[1,2,3,[33,44],{"key":[2,3,4]}]');
+select json_array_length('{"key":"not a json array"}');
 
 Review comment:
   The goal of adding of the `json_array_length` function is to make migration 
from other DBMS to Spark SQL easier. I think we should focus on the specific 
function `json_array_length` already provided by others.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27804: [SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args by `from_csv/json` and `schema_of_csv/json`

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[GitHub] [spark] SparkQA commented on issue #27804: [SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args by `from_csv/json` and `schema_of_csv/json`

2020-03-04 Thread GitBox
SparkQA commented on issue #27804: 
[SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args 
by `from_csv/json` and `schema_of_csv/json`
URL: https://github.com/apache/spark/pull/27804#issuecomment-595076195
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

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[GitHub] [spark] SparkQA commented on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

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[GitHub] [spark] MaxGekk commented on issue #27804: [SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args by `from_csv/json` and `schema_of_csv/json`

2020-03-04 Thread GitBox
MaxGekk commented on issue #27804: 
[SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args 
by `from_csv/json` and `schema_of_csv/json`
URL: https://github.com/apache/spark/pull/27804#issuecomment-595074873
 
 
   @HyukjinKwon @cloud-fan Please, review the PR.


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[GitHub] [spark] MaxGekk opened a new pull request #27804: [SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args by `from_csv/json` and `schema_of_csv/json`

2020-03-04 Thread GitBox
MaxGekk opened a new pull request #27804: 
[SPARK-31020][SPARK-31023][SPARK-31025][SPARK-31044][SQL] Support foldable args 
by `from_csv/json` and `schema_of_csv/json`
URL: https://github.com/apache/spark/pull/27804
 
 
   ### What changes were proposed in this pull request?
   In the PR, I propose:
   
   1. To replace matching by `Literal` in `ExprUtils.evalSchemaExpr()` to 
checking foldable property of the `schema` expression.
   2. To replace matching by `Literal` in `ExprUtils.evalTypeExpr()` to 
checking foldable property of the `schema` expression.
   3. To change checking of the input parameter in the `SchemaOfCsv` 
expression, and allow foldable `child` expression.
   4. To change checking of the input parameter in the `SchemaOfJson` 
expression, and allow foldable `child` expression.
   
   Closes #27771
   Closes #27774
   Closes #2
   Closes #27797
   
   ### Why are the changes needed?
   This should improve Spark SQL UX for `from_csv`/`from_json`. Currently, 
Spark expects only literals:
   ```sql
   spark-sql> select from_csv('1,Moscow', replace('dpt_org_id INT, dpt_org_city 
STRING', 'dpt_org_', ''));
   Error in query: Schema should be specified in DDL format as a string literal 
or output of the schema_of_csv function instead of replace('dpt_org_id INT, 
dpt_org_city STRING', 'dpt_org_', '');; line 1 pos 7
   spark-sql> select from_json('{"id":1, "city":"Moscow"}', replace('dpt_org_id 
INT, dpt_org_city STRING', 'dpt_org_', ''));
   Error in query: Schema should be specified in DDL format as a string literal 
or output of the schema_of_json function instead of replace('dpt_org_id INT, 
dpt_org_city STRING', 'dpt_org_', '');; line 1 pos 7
   ```
   and only string literals are acceptable as CSV examples by 
`schema_of_csv`/`schema_of_json`:
   ```sql
   spark-sql> select schema_of_csv(concat_ws(',', 0.1, 1));
   Error in query: cannot resolve 'schema_of_csv(concat_ws(',', CAST(0.1BD AS 
STRING), CAST(1 AS STRING)))' due to data type mismatch: The input csv should 
be a string literal and not null; however, got concat_ws(',', CAST(0.1BD AS 
STRING), CAST(1 AS STRING)).; line 1 pos 7;
   'Project [unresolvedalias(schema_of_csv(concat_ws(,, cast(0.1 as string), 
cast(1 as string))), None)]
   +- OneRowRelation
   spark-sql> select schema_of_json(regexp_replace('{"item_id": 1, 
"item_price": 0.1}', 'item_', ''));
   Error in query: cannot resolve 'schema_of_json(regexp_replace('{"item_id": 
1, "item_price": 0.1}', 'item_', ''))' due to data type mismatch: The input 
json should be a string literal and not null; however, got 
regexp_replace('{"item_id": 1, "item_price": 0.1}', 'item_', '').; line 1 pos 7;
   'Project [unresolvedalias(schema_of_json(regexp_replace({"item_id": 1, 
"item_price": 0.1}, item_, )), None)]
   +- OneRowRelation
   ```
   
   ### Does this PR introduce any user-facing change?
   Yes, after the changes users can pass any foldable string expression as the 
`schema` parameter to `from_csv()/from_json()`. For the example above:
   ```sql
   spark-sql> select from_csv('1,Moscow', replace('dpt_org_id INT, dpt_org_city 
STRING', 'dpt_org_', ''));
   {"id":1,"city":"Moscow"}
   spark-sql> select from_json('{"id":1, "city":"Moscow"}', replace('dpt_org_id 
INT, dpt_org_city STRING', 'dpt_org_', ''));
   {"id":1,"city":"Moscow"}
   ```
   After change the `schema_of_csv`/`schema_of_json` functions accept foldable 
expressions, for example:
   ```sql
   spark-sql> select schema_of_csv(concat_ws(',', 0.1, 1));
   struct<_c0:double,_c1:int>
   spark-sql> select schema_of_json(regexp_replace('{"item_id": 1, 
"item_price": 0.1}', 'item_', ''));
   struct
   ```
   
   ### How was this patch tested?
   Added new test to `CsvFunctionsSuite` and to `JsonFunctionsSuite`.


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[GitHub] [spark] maropu commented on a change in pull request #27759: [SPARK-31008][SQL]Support json_array_length function

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maropu commented on a change in pull request #27759: [SPARK-31008][SQL]Support 
json_array_length function
URL: https://github.com/apache/spark/pull/27759#discussion_r388119969
 
 

 ##
 File path: sql/core/src/test/resources/sql-tests/inputs/json-functions.sql
 ##
 @@ -58,5 +58,16 @@ select schema_of_json('{"c1":01, "c2":0.1}', 
map('allowNumericLeadingZeros', 'tr
 select schema_of_json(null);
 CREATE TEMPORARY VIEW jsonTable(jsonField, a) AS SELECT * FROM VALUES ('{"a": 
1, "b": 2}', 'a');
 SELECT schema_of_json(jsonField) FROM jsonTable;
+
+-- json_array_length
+select json_array_length('');
+select json_array_length('[]');
+select json_array_length('[1,2,3]');
+select json_array_length('[[1,2],[5,6,7]]');
+select json_array_length('[{"a":123},{"b":"hello"}]');
+select json_array_length('[1,2,3,[33,44],{"key":[2,3,4]}]');
+select json_array_length('{"key":"not a json array"}');
 
 Review comment:
   WDYT? @HyukjinKwon @MaxGekk 


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[GitHub] [spark] maropu commented on a change in pull request #27759: [SPARK-31008][SQL]Support json_array_length function

2020-03-04 Thread GitBox
maropu commented on a change in pull request #27759: [SPARK-31008][SQL]Support 
json_array_length function
URL: https://github.com/apache/spark/pull/27759#discussion_r388119969
 
 

 ##
 File path: sql/core/src/test/resources/sql-tests/inputs/json-functions.sql
 ##
 @@ -58,5 +58,16 @@ select schema_of_json('{"c1":01, "c2":0.1}', 
map('allowNumericLeadingZeros', 'tr
 select schema_of_json(null);
 CREATE TEMPORARY VIEW jsonTable(jsonField, a) AS SELECT * FROM VALUES ('{"a": 
1, "b": 2}', 'a');
 SELECT schema_of_json(jsonField) FROM jsonTable;
+
+-- json_array_length
+select json_array_length('');
+select json_array_length('[]');
+select json_array_length('[1,2,3]');
+select json_array_length('[[1,2],[5,6,7]]');
+select json_array_length('[{"a":123},{"b":"hello"}]');
+select json_array_length('[1,2,3,[33,44],{"key":[2,3,4]}]');
+select json_array_length('{"key":"not a json array"}');
 
 Review comment:
   WDYT? @HyukjinKwon 


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[GitHub] [spark] maropu commented on issue #26918: [SPARK-30279][SQL] Support 32 or more grouping attributes for GROUPING_ID

2020-03-04 Thread GitBox
maropu commented on issue #26918: [SPARK-30279][SQL] Support 32 or more 
grouping attributes for GROUPING_ID 
URL: https://github.com/apache/spark/pull/26918#issuecomment-595071982
 
 
   Thanks, @HyukjinKwon !


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[GitHub] [spark] maropu opened a new pull request #27803: [SPARK-31049][SQL] Support nested adjacent generators, e.g., explode(explode(v))

2020-03-04 Thread GitBox
maropu opened a new pull request #27803: [SPARK-31049][SQL] Support nested 
adjacent generators, e.g., explode(explode(v))
URL: https://github.com/apache/spark/pull/27803
 
 
   
   
   ### What changes were proposed in this pull request?
   
   
   In the master, we currently don't support any nested generators, but I think 
supporting limited nested cases is somewhat useful for users, e.g., 
explode(explode(v)). This PR intends to add some logics in `ExtractGenerator` 
for supporting the nested generators as follows;
   
   ```
   // before this PR
   scala> sql("select explode(explode(array(array(1, 2), array(3").show()
   org.apache.spark.sql.AnalysisException: Generators are not supported when 
it's nested in expressions, but got: explode(explode(array(array(1, 2), 
array(3;
   
   // after this PR
   scala> sql("select explode(explode(array(array(1, 2), array(3").show()
   +---+
   |col|
   +---+
   |  1|
   |  2|
   |  3|
   +---+
   ```
   
   ### Why are the changes needed?
   
   For usability.
   
   ### Does this PR introduce any user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Added tests.
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27802: [MINOR][CORE] Expose the alias -c flag of --conf for spark-submit

2020-03-04 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

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AmplabJenkins removed a comment on issue #27776: [SPARK-31024][SQL] Allow 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27802: [MINOR][CORE] Expose the alias -c flag of --conf for spark-submit

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

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[GitHub] [spark] SparkQA removed a comment on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

2020-03-04 Thread GitBox
SparkQA removed a comment on issue #27776: [SPARK-31024][SQL] Allow specifying 
session catalog name `spark_catalog` in qualified column names for v1 tables
URL: https://github.com/apache/spark/pull/27776#issuecomment-594979436
 
 
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[GitHub] [spark] HyukjinKwon commented on issue #27789: [SPARK-30541][TEST] testRetry flaky KafkaDelegationTokenSuite

2020-03-04 Thread GitBox
HyukjinKwon commented on issue #27789: [SPARK-30541][TEST] testRetry flaky 
KafkaDelegationTokenSuite
URL: https://github.com/apache/spark/pull/27789#issuecomment-595070637
 
 
   Reading from the error messages, yea, seems it's failed during `setup`. 
Let's disable this test case and enable it back in a separate PR.
   
   Conditional test can be an option if we know this `setup` being failed isn't 
an issue but just being flaky for other external reasons, and it's difficult to 
fix.


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[GitHub] [spark] cloud-fan commented on issue #27537: [SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new DateFormatter

2020-03-04 Thread GitBox
cloud-fan commented on issue #27537: [SPARK-30668][SQL][FOLLOWUP] Raise 
exception instead of silent change for new DateFormatter
URL: https://github.com/apache/spark/pull/27537#issuecomment-595070303
 
 
   thanks, merging to master/3.0!


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[GitHub] [spark] cloud-fan closed pull request #27537: [SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new DateFormatter

2020-03-04 Thread GitBox
cloud-fan closed pull request #27537: [SPARK-30668][SQL][FOLLOWUP] Raise 
exception instead of silent change for new DateFormatter
URL: https://github.com/apache/spark/pull/27537
 
 
   


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[GitHub] [spark] cloud-fan edited a comment on issue #27627: [WIP][SPARK-28067][SQL] Fix incorrect results for decimal aggregate sum by returning null on decimal overflow

2020-03-04 Thread GitBox
cloud-fan edited a comment on issue #27627: [WIP][SPARK-28067][SQL] Fix 
incorrect results for decimal aggregate sum by returning null on decimal 
overflow
URL: https://github.com/apache/spark/pull/27627#issuecomment-595067684
 
 
   cc @viirya @maropu @dongjoon-hyun  as well


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[GitHub] [spark] cloud-fan commented on issue #27627: [WIP][SPARK-28067][SQL] Fix incorrect results for decimal aggregate sum by returning null on decimal overflow

2020-03-04 Thread GitBox
cloud-fan commented on issue #27627: [WIP][SPARK-28067][SQL] Fix incorrect 
results for decimal aggregate sum by returning null on decimal overflow
URL: https://github.com/apache/spark/pull/27627#issuecomment-595067684
 
 
   cc @viirya @maropu as well


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[GitHub] [spark] cloud-fan commented on issue #27627: [WIP][SPARK-28067][SQL] Fix incorrect results for decimal aggregate sum by returning null on decimal overflow

2020-03-04 Thread GitBox
cloud-fan commented on issue #27627: [WIP][SPARK-28067][SQL] Fix incorrect 
results for decimal aggregate sum by returning null on decimal overflow
URL: https://github.com/apache/spark/pull/27627#issuecomment-595067541
 
 
   find a way to reproduce without join
   ```
   scala> val decimalStr = "1" + "0" * 19
   decimalStr: String = 1000
   
   scala> val df = spark.range(0, 12, 1, 1)
   df: org.apache.spark.sql.Dataset[Long] = [id: bigint]
   
   scala> df.select(expr(s"cast('$decimalStr' as decimal (38, 18)) as 
d")).agg(sum($"d")).show
   // This is correct
   +--+
   |sum(d)|
   +--+
   |  null|
   +--+
   
   scala> val df = spark.range(0, 1, 1, 1).union(spark.range(0, 11, 1, 1))
   df: org.apache.spark.sql.Dataset[Long] = [id: bigint]
   
   scala> df.select(expr(s"cast('$decimalStr' as decimal (38, 18)) as 
d")).agg(sum($"d")).show
   // This is wrong
   ++
   |  sum(d)|
   ++
   |1...|
   ++
   ```
   
   I think the root cause is, `sum` in partial aggregate overflows and write 
null to the unsafe row. `sum` in final aggregate reads null from the unsafe row 
and mistakenly think it's caused by empty data and convert it to 0.
   
   We should create a `DecimalSum`, which use 2 buffer attributes: `sum` and 
`isEmpty`. Then in final aggregate we can check the `isEmpty` flag to konw if 
the null is caused by overflow or empty data.


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[GitHub] [spark] HeartSaVioR commented on issue #27789: [SPARK-30541][TEST] testRetry flaky KafkaDelegationTokenSuite

2020-03-04 Thread GitBox
HeartSaVioR commented on issue #27789: [SPARK-30541][TEST] testRetry flaky 
KafkaDelegationTokenSuite
URL: https://github.com/apache/spark/pull/27789#issuecomment-595067025
 
 
   Have we observed the case where the setup was passed and the test 
"roundtrip" failed? The errors what I have been observed are all setup failure.
   
   If we don't mind about conditional test, maybe we can "catch" exception in 
beforeAll, and run the code "roundtrip" conditionally depending on the result 
of setup.


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[GitHub] [spark] AmplabJenkins commented on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

2020-03-04 Thread GitBox
AmplabJenkins commented on issue #27776: [SPARK-31024][SQL] Allow specifying 
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URL: https://github.com/apache/spark/pull/27776#issuecomment-595065013
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

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[GitHub] [spark] SparkQA commented on issue #27776: [SPARK-31024][SQL] Allow specifying session catalog name `spark_catalog` in qualified column names for v1 tables

2020-03-04 Thread GitBox
SparkQA commented on issue #27776: [SPARK-31024][SQL] Allow specifying session 
catalog name `spark_catalog` in qualified column names for v1 tables
URL: https://github.com/apache/spark/pull/27776#issuecomment-595064114
 
 
   **[Test build #119352 has 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins commented on issue #27802: [MINOR][CORE] Expose the alias -c flag of --conf for spark-submit

2020-03-04 Thread GitBox
AmplabJenkins commented on issue #27802: [MINOR][CORE] Expose the alias  -c 
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URL: https://github.com/apache/spark/pull/27802#issuecomment-595063281
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27802: [MINOR][CORE] Expose the alias -c flag of --conf for spark-submit

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AmplabJenkins commented on issue #27802: [MINOR][CORE] Expose the alias  -c 
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URL: https://github.com/apache/spark/pull/27802#issuecomment-595063286
 
 
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[GitHub] [spark] zsxwing commented on a change in pull request #27789: [SPARK-30541][TEST] testRetry flaky KafkaDelegationTokenSuite

2020-03-04 Thread GitBox
zsxwing commented on a change in pull request #27789: [SPARK-30541][TEST] 
testRetry flaky KafkaDelegationTokenSuite
URL: https://github.com/apache/spark/pull/27789#discussion_r388110374
 
 

 ##
 File path: 
external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/KafkaDelegationTokenSuite.scala
 ##
 @@ -62,7 +62,7 @@ class KafkaDelegationTokenSuite extends StreamTest with 
SharedSparkSession with
 }
   }
 
-  test("Roundtrip") {
+  testRetry("Roundtrip", 3) {
 
 Review comment:
   +1


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[GitHub] [spark] SparkQA removed a comment on issue #27802: [MINOR][CORE] Expose the alias -c flag of --conf for spark-submit

2020-03-04 Thread GitBox
SparkQA removed a comment on issue #27802: [MINOR][CORE] Expose the alias  -c 
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URL: https://github.com/apache/spark/pull/27802#issuecomment-595017164
 
 
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[GitHub] [spark] SparkQA commented on issue #27802: [MINOR][CORE] Expose the alias -c flag of --conf for spark-submit

2020-03-04 Thread GitBox
SparkQA commented on issue #27802: [MINOR][CORE] Expose the alias  -c flag of 
--conf for spark-submit
URL: https://github.com/apache/spark/pull/27802#issuecomment-595062647
 
 
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27789: [SPARK-30541][TEST] testRetry flaky KafkaDelegationTokenSuite

2020-03-04 Thread GitBox
HyukjinKwon commented on a change in pull request #27789: [SPARK-30541][TEST] 
testRetry flaky KafkaDelegationTokenSuite
URL: https://github.com/apache/spark/pull/27789#discussion_r388108959
 
 

 ##
 File path: 
external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/KafkaDelegationTokenSuite.scala
 ##
 @@ -62,7 +62,7 @@ class KafkaDelegationTokenSuite extends StreamTest with 
SharedSparkSession with
 }
   }
 
-  test("Roundtrip") {
+  testRetry("Roundtrip", 3) {
 
 Review comment:
   Sounds fine to me.


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[GitHub] [spark] SparkQA commented on issue #27793: [SPARK-31037][SQL] refine AQE config names

2020-03-04 Thread GitBox
SparkQA commented on issue #27793: [SPARK-31037][SQL] refine AQE config names
URL: https://github.com/apache/spark/pull/27793#issuecomment-595060829
 
 
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[GitHub] [spark] gatorsmile commented on a change in pull request #27789: [SPARK-30541][TEST] testRetry flaky KafkaDelegationTokenSuite

2020-03-04 Thread GitBox
gatorsmile commented on a change in pull request #27789: [SPARK-30541][TEST] 
testRetry flaky KafkaDelegationTokenSuite
URL: https://github.com/apache/spark/pull/27789#discussion_r388107442
 
 

 ##
 File path: 
external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/KafkaDelegationTokenSuite.scala
 ##
 @@ -62,7 +62,7 @@ class KafkaDelegationTokenSuite extends StreamTest with 
SharedSparkSession with
 }
   }
 
-  test("Roundtrip") {
+  testRetry("Roundtrip", 3) {
 
 Review comment:
   @zsxwing @gaborgsomogyi Should we disable this flaky test first and create a 
blocker ticket for 3.0? 
   
   If we keep hitting the test failure, it will impact the productivity of the 
open source development. 
   


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2020-03-04 Thread GitBox
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[SPARK-25556][SPARK-17636][SPARK-31026][SQL][test-hive1.2] Nested Column 
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URL: https://github.com/apache/spark/pull/27728#issuecomment-595055285
 
 
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[GitHub] [spark] SparkQA commented on issue #27780: [SPARK-31026] [SQL] [test-hive1.2] Parquet predicate pushdown on columns with dots

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[GitHub] [spark] ScrapCodes edited a comment on issue #27800: [SPARK-31041][BUILD] Make arguments to make-distribution.sh position-independent

2020-03-04 Thread GitBox
ScrapCodes edited a comment on issue #27800: [SPARK-31041][BUILD] Make 
arguments to make-distribution.sh position-independent
URL: https://github.com/apache/spark/pull/27800#issuecomment-595051659
 
 
   @nchammas, the patch looks good to me. We can make one more improvement 
though.
   
   The command `dev/make-distribution.sh`'s usage help, makes it very clear 
that maven cli option should be at the end.
   
   Since the error output, if the user makes a mistake with the position of the 
`MAVEN_CLI_OPTIONS` is very misleading. So this patch is helpful !
   
   The improvement, I would recommend is, is the user gives a misspelled CLI 
option, the error output is still misleading, it might as well be good to fix 
the error output. e.g.
   
   `./dev/make-distribution.sh --pip -r --tgz`
   
   Produces the error:
   `+ VERSION=' -X,--debug Produce execution debug 
output'`
   Which is not at all helpful.
   


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[GitHub] [spark] ScrapCodes edited a comment on issue #27800: [SPARK-31041][BUILD] Make arguments to make-distribution.sh position-independent

2020-03-04 Thread GitBox
ScrapCodes edited a comment on issue #27800: [SPARK-31041][BUILD] Make 
arguments to make-distribution.sh position-independent
URL: https://github.com/apache/spark/pull/27800#issuecomment-595051659
 
 
   @nchammas, the patch looks good to me. We can make one more improvement 
though.
   
   The command `dev/make-distribution.sh`'s usage help, makes it very clear 
that maven cli option should be at the end.
   
   Since the error output, if the user makes a mistake with the position of the 
`MAVEN_CLI_OPTIONS` is very misleading. So this patch is helpful !
   
   The improvement, I would recommend is, if the user gives a misspelled CLI 
option, the error output is still misleading, it might as well be good to fix 
the error output. e.g.
   
   `./dev/make-distribution.sh --pip -r --tgz`
   
   Produces the error:
   `+ VERSION=' -X,--debug Produce execution debug 
output'`
   Which is not at all helpful.
   


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[GitHub] [spark] SparkQA commented on issue #27780: [SPARK-31026] [SQL] [test-hive1.2] Parquet predicate pushdown on columns with dots

2020-03-04 Thread GitBox
SparkQA commented on issue #27780: [SPARK-31026] [SQL] [test-hive1.2] Parquet 
predicate pushdown on columns with dots
URL: https://github.com/apache/spark/pull/27780#issuecomment-595051518
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] ScrapCodes commented on issue #27800: [SPARK-31041][BUILD] Make arguments to make-distribution.sh position-independent

2020-03-04 Thread GitBox
ScrapCodes commented on issue #27800: [SPARK-31041][BUILD] Make arguments to 
make-distribution.sh position-independent
URL: https://github.com/apache/spark/pull/27800#issuecomment-595051659
 
 
   @nchammas, the patch looks good to me. We can make one more improvement 
though.
   
   The command `dev/make-distribution.sh`'s usage help, makes it very clear 
that maven cli option should be at the end.
   
   Since the error output if the user makes a mistake with the position of the 
`MAVEN_CLI_OPTIONS` is very misleading. So this patch is helpful !
   
   The improvement, I would recommend is, is the user gives a misspelled CLI 
option, the error output is still misleading, it might as well be good to fix 
the error output. e.g.
   
   `./dev/make-distribution.sh --pip -r --tgz`
   
   Produces the error:
   `+ VERSION=' -X,--debug Produce execution debug 
output'`
   Which is not at all helpful.
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27759: [SPARK-31008][SQL]Support json_array_length function

2020-03-04 Thread GitBox
AmplabJenkins removed a comment on issue #27759: [SPARK-31008][SQL]Support 
json_array_length function
URL: https://github.com/apache/spark/pull/27759#issuecomment-595048017
 
 
   Merged build finished. Test PASSed.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27759: [SPARK-31008][SQL]Support json_array_length function

2020-03-04 Thread GitBox
AmplabJenkins removed a comment on issue #27759: [SPARK-31008][SQL]Support 
json_array_length function
URL: https://github.com/apache/spark/pull/27759#issuecomment-595048026
 
 
   Test PASSed.
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   Test PASSed.


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